AIRT Anti-Plagiarism Prompt: Front End User Sovereign Integrity

This paper presents AIRT (Anti-plagiarism Prompt for Integrity Research and Transparency) v4.1 — a structured AI-mediated protocol for detecting and auditing academic plagiarism, developed from the Front-End User (FEU) perspective. Unlike conventional BEU-centric (Back-End User) tools such as Turnitin or iThenticate that rely on database string-matching, AIRT leverages the full qualitative and quantitative capacity of Large Language Models (LLMs) as Probabilistic Meaning Mediators operating at 70–88% cognitive load. The framework introduces three integrated layers: Book Smart (academic standards A1–A4), Street Smart (FEU operational reality B1–B5), and Unifying Principles (C1–C4), culminating in a reproducible…